# Output Diversity on Foundation Benchmark Set Source: [Output Diversity on Foundation Benchmark Set]() Collection index: [llms.txt]() Data updated: 2026-06-01T08:47:32.356Z Evaluation of model output diversity performance on the Foundation Benchmark Set, measured using Score (%), Cosine similarity, and perceptual hash variance. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Output Diversity | | Dataset (including any stated split) | Foundation Benchmark Set | | Metric | Cosine Similarity | | Unit | SCALAR | | Direction | Higher is better | | Results loaded | 2 of 2 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Cosine Similarity](): Higher is better; unit: SCALAR. - [Score](): Higher is better; unit: PERCENT. - [Perceptual Hash Variance](): Higher is better; unit: SCALAR. ## Recorded results | Method | Cosine Similarity | Result date | Report paper | | --- | --- | --- | --- | | Algorithmic Baseline | 0.72 | Not recorded | 6a1d11eadbd7150506f83e4b | ### Algorithmic Baseline Cosine Similarity: 0.72. Result ID: 6a1d4711fbc373592c168fb2. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Evaluation Source":"Baseline","Source Description":"Cosine similarity / perceptual hash variance"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.